"The big guy always saw through the hype and still does"
I would argue that the big guy "seeing through the hype" is the primary reason for SAS' decline and its current position in the market.
The mode of operation at SAS has been to downplay every new wave of tech until it becomes foundational in the industry at which point SAS adds lackluster support/integration for that technology.
He downplayed cloud computing until it was too late then SAS built a lackluster "cloud native" product
https://youtu.be/M_0hPwFbwnc?si=gNiLMd14ss1vrzQM&t=1625
He/The company downplayed Hadoop and the rise of Data Lakes until it was too late then built lackluster support for it.
The company is still begrudgingly embracing open source programming languages despite the entire industry converging on SQL and Python as the standard for analytics and data science.
I think the company is repeating the same mistake when it comes to AI. There is no question that the hype is currently outdoing the production of AI, but the great companies are the ones who are innovating and figuring out how to make AI disruptive. Similar to the way Amazon figured out how to make the internet disruptive and Uber figured out how make Apps disruptive.
Here is a good example of a Data + AI company that is ahead of the curve and thinking about how to make AI productive for the Enterprise:
https://youtu.be/UfbyzK488Hk?si=210eXCZuZDiioePo